8 citations · 15 across the 8 of their papers we have counts for
11 papers
Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots
Mihir Dharmadhikari, Paolo De Petris, Mihir Kulkarni +7
This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are crit…
Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots
Mihir Kulkarni, Huan Nguyen, Kostas Alexis
This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming…
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter +33
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with…
Marsupial Walking-and-Flying Robotic Deployment for Collaborative Exploration of Unknown Environments
Paolo De Petris, Shehryar Khattak, Mihir Dharmadhikari +6
This work contributes a marsupial robotic system-of-systems involving a legged and an aerial robot capable of collaborative mapping and exploration path planning that exploits the…
RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration
Paolo De Petris, Huan Nguyen, Mihir Dharmadhikari +4
This work presents the design, hardware realization, autonomous exploration and object detection capabilities of RMF-Owl, a new collision-tolerant aerial robot tailored for resilie…
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38
Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…
Motion Primitives-based Navigation Planning using Deep Collision Prediction
Huan Nguyen, Sondre Holm Fyhn, Paolo De Petris +1
This paper contributes a method to design a novel navigation planner exploiting a learning-based collision prediction network. The neural network is tasked to predict the collision…
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots
Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto +10
This paper presents a novel strategy for autonomous teamed exploration of subterranean environments using legged and aerial robots. Tailored to the fact that subterranean settings,…
Model Predictive Control for Micro Aerial Vehicles: A Survey
Huan Nguyen, Mina Kamel, Kostas Alexis +1
This paper presents a review of the design and application of model predictive control strategies for Micro Aerial Vehicles and specifically multirotor configurations such as quadr…
Autonomous Aerial Robotic Surveying and Mapping with Application to Construction Operations
Huan Nguyen, Frank Mascarich, Tung Dang +1
In this paper we present an overview of the methods and systems that give rise to a flying robotic system capable of autonomous inspection, surveying, comprehensive multi-modal map…
The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning
Mihir Kulkarni, Huan Nguyen, Kostas Alexis
This paper presents the design concept, modeling and motion planning solution for the aerial robotic chain. This design represents a configurable robotic system of systems, consist…